Diaz Eaton, Carrie
Carrie Diaz Eaton
Associate Professor of Digital and Computational Studies
Digital and Computational Studies
Pettengill Hall, Room G19
I use modeling, computation, and a complex adaptive systems approach to explore theoretical questions in biology. While I started this work in computational neuroscience and then moved to evolutionary theory and plant-pollinator networks, I have more recently advised student internships and research projects in disease modeling, science communication, and undergraduate STEM education.
I currently hold multiple grants related to research in mathematical and computational biology education, specifically undergraduate interdisciplinary curriculum development and faculty support for interdisciplinary teaching practice. In 2014, I co-founded QUBES and through which I engage in a number of projects and networks at the national level, often with professional societies, to promote and support quantitative biology education. An important part of this work includes supporting a diverse set of faculty and students in higher education.
- Diaz Eaton, C, Dahlquist, K, Highlander, H, LaMar, MD, Ledder, G., and Schugart, R. (In press 2018) A “Rule of Five” Framework for Models and Modeling to Unify Mathematicians and Biologists and Improve Student Learning. Special Issue on Interdisciplinary Conversations, Problems, Resources, and Issues in Mathematical Undergraduate Studies [PRIMUS]. DOI: 10.1080/10511970.2018.1489318
- Diaz Eaton, C and Bailey, LM. 2018. Finding Luz: Illuminating our identities through duoethnography. Special Issue on Mathematics and Motherhood, Journal of Humanistic Mathematics. 8(2):60-89. DOI: 10.5642/jhummath.201802.08.
- Diaz Eaton, C and Highlander, H. 2017. The Case for BioCalculus: Design, Retention, and Student Performance. CBE-Life Science Education. 16(2):ar25. Link
- Diaz Eaton, C, Anderson, LJ, Allen, D, Bowser, G, Pauley, MA, Williams, KS, and Uno, GE. 2016. Summit of the Research Coordination Networks for Undergraduate Biology Education. CBE-Life Science Education. 15(4):mr1. Link
- Donovan, S, Diaz Eaton, C, Gower, ST, Jenkins, K., LaMar, MD., Poli, DB., Sheehy, R., and Wojdak, JM. 2015. QUBES: A community focused on supporting teaching and learning in quantitative biology. Letters in Biomathematics. 2(1):46-55. Link
Fall Semester 2018
Discrete Structures for Modeling